We are looking for a talented and driven Chief Data Scientist to join our innovative team.

In this position, you will apply advanced statistical methods, machine learning techniques, and robust data analysis to generate actionable insights, create predictive models, and enable impactful business outcomes. This role offers the chance to work with varied datasets, modern cloud platforms, and advanced tools while collaborating across functional areas to tackle sophisticated problems.

Responsibilities

• Leverage mathematical, statistical, and machine learning methods to inform strategy and decision-making
• Employ tools and frameworks like TensorFlow or PyTorch to develop predictive and prescriptive models
• Identify and validate data from internal and external sources to uncover meaningful patterns
• Evolve hypotheses, analyze data in analytics sandboxes, and iteratively improve models
• Use Python libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and analysis
• Collaborate with teams to ensure proper data sourcing, cleaning, and preparation for analysis
• Optimize and manage relational datasets using SQL while adhering to governance standards
• Present insights through visualizations created in Matplotlib, Seaborn, or Plotly
• Align organizational data strategies with industry best practices in data management
• Deploy machine learning models to production environments via cloud solutions such as AWS SageMaker and EC2
• Work with engineers and stakeholders to create scalable solutions for data-heavy workloads

Requirements

• At least 7 years of experience in data science, machine learning, or related domains
• Proficiency in Python and libraries like Pandas, NumPy, and Scikit-learn
• Knowledge of machine learning frameworks including TensorFlow or PyTorch
• Skills in cloud-based tools like AWS, including S3 and SageMaker
• Background in big data technologies such as Spark and experience with SQL for relational databases
• Familiarity with version control systems such as Git
• Understanding of NLP techniques and sentiment analysis systems
• Competency in applying data visualization principles with Matplotlib, Seaborn, or Plotly
• Background in data governance to ensure compliance and accuracy

Nice to have

• Knowledge of Docker for managing containerization and deployments
• Background in Snowflake for data warehousing and advanced analytics
• Familiarity with tools like Bitbucket, JIRA, and Confluence within the Atlassian suite
• Understanding of simulation techniques and scenario-based event processing

We offer

• Competitive compensation depending on experience and skills
• Variety of projects within one company
• Being a part of a project following engineering excellence standards
• Individual career path and professional growth opportunities
• Internal events and communities
• Flexible work hours